I have an operational WhatsApp AI Agent that was originally built around Wasenderapi.com. I am now migrating the project to a brand-new VPS and want to seize the opportunity to give the bot a serious boost in capability and performance. The scope breaks down into three clear goals: • Super-charge user interaction – Sharpen natural-language understanding so the bot grasps intent more accurately. – Introduce rich, interactive message templates (buttons, lists, quick-replies) to make conversations feel fluid. – Refine automated response flows to minimise friction and keep users engaged. • Improve raw speed – Analyse current latency, remove bottlenecks, and implement best-practice async handling or caching so replies feel instantaneous. • Add fresh functionality – Integration hooks for external platforms (CRM, Slack, custom webhooks, etc.). – A lightweight analytics & reporting layer: message counts, response times, conversion events. – Seamless multi-language support with fallback to English when a translation is missing. Alongside those upgrades you will handle the VPS deployment itself, port any environment variables, and iron out bugs that surface during the move. Existing code is available in a private repo; primary stack is Node.js with a MongoDB back end, but I am open to improvements you can justify. Acceptance criteria 1. The bot is running on the new VPS with zero downtime for end users. 2. Median response time ≤ 1.5 s for a standard text query under normal load. 3. New interaction elements render correctly in the latest WhatsApp clients. 4. Dashboard or endpoint exposes the agreed analytics metrics. 5. Multi-language replies verified for at least three languages of my choosing. If you have hands-on experience with WhatsApp Business API, Wasenderapi, VPS optimisation, and NLP libraries such as Dialogflow, Rasa, or OpenAI, I’d love to hear how you would tackle this revamp and your estimated timeline for rollout.